Literature DB >> 12680723

Estimation of cardiac conduction velocities using small data sets.

Tamara N Fitzgerald1, Edward K Rhee, Dana H Brooks, John K Triedman.   

Abstract

Cardiac surface conduction velocities could provide valuable information about the speed and angle of a propagating electrical wave front. It would be advantageous to develop catheter-based velocity mapping devices to improve the visualization of cardiac arrhythmias. However, catheter tip size is limited to < or = 2.5 mm in diameter, restricting the number and size of electrodes that can be placed on a catheter tip. We address the feasibility of estimating conduction speed and angle from small data sets suitable for recording from a catheter device in a standard clinical environment. We estimated cardiac conduction velocities from data subsets of 4-7 closely spaced electrograms, and then compared these estimates to velocities estimated from a larger reference grid. We studied 137 ventricular beats and 17,756 velocity vectors from six swine hearts. Average differences in angle between the two estimates were 0.4 degrees +/- 16 degrees while average differences in speed were 5% +/- 33%. These angle and speed differences provide an initial quantitative assessment of velocity accuracy for the purposes of catheter-based vector mapping.

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Year:  2003        PMID: 12680723     DOI: 10.1114/1.1543936

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  10 in total

1.  The voltage-sensitive dye di-4-ANEPPS slows conduction velocity in isolated guinea pig hearts.

Authors:  Anders Peter Larsen; Katie J Sciuto; Alonso P Moreno; Steven Poelzing
Journal:  Heart Rhythm       Date:  2012-04-24       Impact factor: 6.343

2.  An improved method for the estimation and visualization of velocity fields from gastric high-resolution electrical mapping.

Authors:  Niranchan Paskaranandavadivel; Gregory O'Grady; Peng Du; Andrew J Pullan; Leo K Cheng
Journal:  IEEE Trans Biomed Eng       Date:  2011-12-26       Impact factor: 4.538

3.  Multi-channel wireless mapping of gastrointestinal serosal slow wave propagation.

Authors:  N Paskaranandavadivel; R Wang; S Sathar; G O'Grady; L K Cheng; A Farajidavar
Journal:  Neurogastroenterol Motil       Date:  2015-01-20       Impact factor: 3.598

4.  Automated conduction velocity estimation based on isochronal activation of heart chambers.

Authors:  Michela Santurri; Jennifer Bonga; Maurizio Schmid; Filippo Maria Cauti; Francesco Solimene; Marco Polselli; Mauro Bura; Francesco Piccolo; Maurizio Malacrida; Gemma Pelargonio; Francesco Raffaele Spera; Stefano Bianchi; Pietro Rossi
Journal:  J Interv Card Electrophysiol       Date:  2022-09-30       Impact factor: 1.759

5.  Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric Data.

Authors:  Wilson W Good; Karli K Gillette; Brian Zenger; Jake A Bergquist; Lindsay C Rupp; Jess Tate; Devan Anderson; Matthias A F Gsell; Gernot Plank; Rob S MacLeod
Journal:  IEEE Trans Biomed Eng       Date:  2021-10-19       Impact factor: 4.756

6.  Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.

Authors:  C D Cantwell; C H Roney; F S Ng; J H Siggers; S J Sherwin; N S Peters
Journal:  Comput Biol Med       Date:  2015-04-25       Impact factor: 4.589

7.  Resolving Myocardial Activation With Novel Omnipolar Electrograms.

Authors:  Stéphane Massé; Karl Magtibay; Nicholas Jackson; John Asta; Marjan Kusha; Boyang Zhang; Ram Balachandran; Milica Radisic; D Curtis Deno; Kumaraswamy Nanthakumar
Journal:  Circ Arrhythm Electrophysiol       Date:  2016-07

8.  The roles of mid-myocardial and epicardial cells in T-wave alternans development: a simulation study.

Authors:  D Janusek; J Svehlikova; J Zelinka; W Weigl; R Zaczek; G Opolski; M Tysler; R Maniewski
Journal:  Biomed Eng Online       Date:  2018-05-08       Impact factor: 2.819

9.  High-Resolution Measurement of Local Activation Time Differences From Bipolar Electrogram Amplitude.

Authors:  Stephen Gaeta; Tristram D Bahnson; Craig Henriquez
Journal:  Front Physiol       Date:  2021-04-22       Impact factor: 4.566

10.  A Divergence-Based Approach for the Identification of Atrial Fibrillation Focal Drivers From Multipolar Mapping: A Computational Study.

Authors:  Michela Masè; Alessandro Cristoforetti; Maurizio Del Greco; Flavia Ravelli
Journal:  Front Physiol       Date:  2021-12-24       Impact factor: 4.566

  10 in total

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